International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

MO1.O-6: Remote Sensing of Wetlands: The AI and Big Data Era
Mon, 12 Jul, 14:30 - 16:00 (UTC)
Mon, 12 Jul, 16:30 - 18:00 Central Europe Summer Time (UTC +2)
Mon, 12 Jul, 22:30 - 00:00 China Standard Time (UTC +8)
Mon, 12 Jul, 10:30 - 12:00 Eastern Standard Time (UTC -4)
Session Co-Chairs: Masoud Mahdianpari, Memorial University of Newfoundland, NL, Canada and Brian Brisco, NRCan Canada
Session Manager: Rufai Balogun
Track: Invited Sessions

MO1.O-6.1: MONITORING OF 30 YEARS WETLAND CHANGES IN NEWFOUNDLAND, CANADA

Masoud Mahdianpari, Memorial University/ C-CORE, Canada; Hamid Jafarzadeh, University of Tehran, Canada; Jean Granger, Fariba Mohammadimanesh, C-CORE, Canada; Brian Brisco, NRCan Canada, United States; Bahram Salehi, ESF University, United States; Saeid Homayouni, INRS University, United States; Qihao Weng, indstate university, United States

MO1.O-6.3: IMPROVING PEATLAND MAPPING AND MONITORING CAPABILITY ACROSS BROAD REGIONS USING SAR IN CLOUD COMPUTING PLATFORMS

Laura Bourgeau-Chavez, Michael Battaglia, Andrew Poley, Dorthea Leisman, Jeremy Graham, Sarah Grelik, Michigan Technological University, United States

MO1.O-6.4: Wetland mapping of Northern provinces of Iran using Sentinel-1 and Sentinel-2 in Google Earth Engine

MohammadAli Hemati, Mahdi Hasanlou, University of Tehran, Iran; Masoud Mahdianpari, Memorial University of Newfoundland, C-CORE, Canada; Fariba Mohammadimanesh, C-CORE, Canada

MO1.O-6.5: Wetland Classification Using Simulated NISAR Data: a case study in Louisiana

Sarina Adeli, Bahram Salehi, State University of New York, College of Environmental Science and Forestry, United States; Masoud Mahidanpari, C-CORE and Memorial University of Newfoundland, Canada; Lindi J. Quackenbush, State University of New York, College of Environmental Science and Forestry, United States; Bruce Chapman, NASA Jet Propulsion Laboratory, United States